In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

GLM can be used to analyze data from various non-Normal distributions. In this short course, we will introduce two most common GLM models: Logistic Regression for binary (yes/no or 0/1) data and ...

See Chapter 5, "Introduction to Categorical Data Analysis Procedures," and Chapter 22, "The CATMOD Procedure," for more information. GENMOD uses maximum likelihood estimation to fit generalized linear ...

Second, when the data themselves are looked to for guidance, many of the graphical methods and diagnostics appropriate for the general linear model extend to the mixed model setting as well ...

An introduction to the theory and application of generalised linear models for the analysis of continuous, categorical and count data, and regression models for survival data. Topics include: general ...